Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4969305 | Journal of Visual Communication and Image Representation | 2017 | 13 Pages |
Abstract
High-speed imaging requires high-bandwidth, fast image sensors that are generally only available in high-end specialized cameras. Nevertheless, with the use of compressive sensing theory and computational photography techniques, new methods emerged that use spatial light modulators to reconstruct high-speed videos with low speed sensors. Although these methods represent a big step in the field, they still present some limitations, such as low light efficiency and the generation of measurements with time dependency. To tackle these problems, we propose a per-pixel mirror-based acquisition method that is based on a new kind of light modulator. The proposed method uses moving mirrors to scramble the light coming from different positions, thus ensuring better light efficiency and generating time independent measurements. Our results show that the proposed method and its variations perform better than methods available in the literature, generating videos that are less noisy and that display better content separation.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
J.A.S. Lima, C.J. Miosso, M.C.Q. Farias,